CVE-2022-23582 : Vulnerability Insights and Analysis

A vulnerability has been identified in TensorFlow that allows a malicious user to cause a denial of service attack by exploiting the

TensorByteSize

function. This CVE, assigned the ID CVE-2022-23582, has a CVSS base score of 6.5 (Medium severity).

Understanding CVE-2022-23582

This section provides insights into the nature and impact of the vulnerability.

What is CVE-2022-23582?

TensorFlow, an open-source machine learning framework, is affected by a vulnerability where manipulating a

SavedModel

can trigger

CHECK

failures within the

TensorByteSize

function. This vulnerability enables a denial of service attack.

The Impact of CVE-2022-23582

The impact of this vulnerability is assessed to have a base severity of Medium. The exploitability metrics indicate a low complexity for the attack vector over a network, with high availability impact and low privileges required.

Technical Details of CVE-2022-23582

In this section, we delve into the technical aspects of the vulnerability.

Vulnerability Description

The vulnerability arises due to a

CHECK

failure in the

TensorByteSize

function, triggered by alterations in a

SavedModel

that affect the

TensorShape

constructor. This manipulation can lead to denial of service.

Affected Systems and Versions

The affected versions of TensorFlow include >= 2.7.0 and < 2.7.1, >= 2.6.0 and < 2.6.3, and versions prior to 2.5.3.

Exploitation Mechanism

A threat actor can exploit this vulnerability by crafting a

SavedModel

that triggers

CHECK

failures within the

TensorByteSize

function, leading to a denial of service attack.

Mitigation and Prevention

To mitigate the risks associated with CVE-2022-23582, immediate and long-term security measures should be implemented.

Immediate Steps to Take

Immediately update TensorFlow to version 2.8.0, which includes the fix for this vulnerability. For versions 2.7.1, 2.6.3, and 2.5.3, ensure the relevant patches are applied.

Long-Term Security Practices

Implement rigorous validation checks for input data and adhere to secure coding practices to prevent similar vulnerabilities in the future.

Patching and Updates

Regularly monitor and apply updates provided by TensorFlow to address security vulnerabilities and enhance the overall security posture of the system.